Django Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Django
Christian Schulz
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
Sebastian Dirndorfer
Last position:
Data Scientist at CLADE GmbH
- Designed and implemented a robust Python-based data processing framework that supported the transition from R to Python and significantly improved data science productivity by providing maintainable, standardized modules for frequently used workflows, following coding best practices and DevOps principles
- Evaluated, trained, and deployed machine learning models on cloud platforms and edge devices, enabling fully automated mid-infrared (MIR) data evaluation pipelines that eliminated manual analysis steps and significantly shortened the time from measurement to prediction for customers and internal stakeholders
- Analyzed and interpreted multivariate MIR spectral data from the company’s proprietary analyzer using R and Python, supporting reliable identification and quantitation of chemical compounds in solution
Frederik Claus
Last position:
Freelance Fullstack Software Developer at Bundesdruckerei GmbH
Development of the digital organ donation register, commissioned by the Federal Institute for Drugs and Medical Devices (BfArM)
Implementation of user stories in multiple microservices (front- and backend)
Ensuring quality with unit, integration, and end-to-end tests
Conducting code reviews
Coordination with other development teams
Taking over software license checks and simplifying the process
Responsible for implementing and documenting domain logging
Setting up a development environment with Docker Compose
Daniel Carton
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Jiri Sostok
Last position:
Quality Manager/Test Management at Noriba GmbH
- Creation of test concepts
- Development of test processes
- Coordination of test case development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
- Hardware testing: FPGA, RF
- Test automation and regression testing
- Ensuring 24/7 operation of the test system
- Analysis & reporting
- Regular coordination of the test team, meetings with other stakeholders
- Communication and coordination with stakeholders and project managers
Anton Klonov
Last position:
Head of Technical Overall Integration NSC / Hadoop Cloud Development at IABG
Head of technical overall integration NSC (National Secure Cloud project with about 60 employees).
Technical integration of all subprojects into one product, definition of interfaces, basic components of a cloud including hardware, technical architecture of the IABG base.
Development of a Cloud Management Platform (CMP) that can create a private/mixed cloud of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management cycle.
As a foundation, it uses Kubernetes, OpenStack, and Hadoop.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are automatically configured.
The private cloud can run any customer workloads, including a full Hadoop stack with HDFS, Spark, MapReduce, Mesos, HBase and around 20 other ML/DL technologies.
Hadoop worker clusters can also be automatically installed on bare metal or commodity hardware without Kubernetes.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, database.
Technologies: Kubernetes (K3s, RKE2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3s), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).
Igor Caviroski
Last position:
Senior Frontend Developer at Freelance Frontend Developer
- Senior Frontend Developer, January 2022 – July 2024: Industry: banking and Deutsche Bahn, large databases; Technology: Angular 18, AngularJS, TypeScript, JavaScript, RxJS, CSS, HTML, Azure, Docker, Git; Company size: 50–55 people
- Senior Frontend Developer, October 2021 – December 2021: Industry: contract management; Technology: Angular 12, Syncfusion, TypeScript, RxJS, CSS, HTML, Docker, Git; Company size: 15–20 people
- Senior Frontend Developer, May 2021 – September 2021: Industry: web, social network; Technology: JavaScript, jQuery, Django, CSS, HTML, Git, Compass; Company size: 15–20 people
- Senior Frontend Developer, January 2021 – April 2021: Industry: web, web applications; Technology: Angular 8, TypeScript, RxJS, Docker, Git, CSS, HTML; Company size: 1–10 people
- Senior Frontend Developer, June 2020 – December 2020: Industry: web, web applications; Technology: JavaScript, Dart, Flutter, Git, CSS, HTML; Company size: 1–10 people
Ana Cunha
Last position:
Software Engineer - Internship at BMW
- Integrated sensor data used for lane boundary extraction into the internal fingerprint pipeline, supporting AI-based localization for autonomous vehicles using Python.
- Worked in a cloud-based environment using AWS services for data storage and processing.
- Authored onboarding and technical documentation, improving team efficiency and knowledge transfer.
- Collaborated with other engineers to translate data requirements into engineering solutions while adhering to confidentiality protocols.
Fabian Ehringer
Last position:
Technical Lead at 21bitcoin
- Building a scalable and robust financial service based on Bitcoin and paving the way for a truly digital financial world.
Discover over 15,000 top freelancers
Statistics of experts using Django
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 14 years)
Position duration
3 years (Germany: 2 years)
Positions per freelancer
14 (Germany: 10)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Education, Automotive
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
89% (Germany: 96%)
Master's degree or higher
56% (Germany: 58%)
Doctorate
22% (Germany: 7%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
English, German, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Munich using Django
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Django at a glance
Django is a Python web framework for building secure, maintainable web applications. It comes with a strong admin area, ORM, authentication, routing, templates, and a clear project structure. Companies use it for internal tools, customer portals, content sites, and API backends.
What specialists deliver
- New Django applications and feature work
- REST APIs with Django REST framework
- Admin interfaces for content and operations teams
- Data models, migrations, and query tuning
- Test coverage, security hardening, and deployment support
Strong professionals keep code simple, predictable, and easy to extend. They know how to shape apps around business rules instead of forcing business logic into views or templates.
Ecosystem and tooling
A good Django setup usually includes Python, PostgreSQL, Celery, Redis, and Docker. Many teams also use Django REST framework, pytest, Sentry, and common frontend tools when the project needs a richer client layer.
The best experts understand how these pieces fit together. They can work across development, testing, background jobs, observability, and release workflows without adding unnecessary complexity.
When to bring in help
Bring in freelance Django expertise when a project needs a quick start, a rescue after technical debt, or a focused delivery push. It also helps when an in-house team needs support for upgrades, API design, performance work, or a safer release.
In Munich, companies often need specialists who can collaborate with product, design, and operations teams, either on-site or remotely. Clear English is common; German helps when the project touches local stakeholders or internal users.
Signs of a strong specialist
- Writes clean Python and understands Django conventions
- Uses the ORM well and avoids inefficient queries
- Designs APIs, forms, and admin workflows that fit real users
- Adds tests, error handling, and monitoring early
- Handles upgrades and dependency changes with care
A strong Django professional can explain trade-offs clearly. They can also show how they keep delivery fast without sacrificing maintainability.
Common project fit
Django fits products that need secure backends, structured data, and fast iteration. It is a practical choice for SaaS tools, portals, workflow systems, dashboards, and content-heavy websites.
It is also a good match when the team wants Python across the stack and values a framework with built-in defaults. That makes it easier to move from prototype to production without rewriting the core.
Frequently asked questions
Quick answers to the questions that come up most around Django.
Django is best for web applications that need solid backend structure, fast delivery, and built-in security features. Teams use it for portals, internal tools, content sites, APIs, and workflow systems. It is especially useful when data models, permissions, and admin work matter.
Django is a full web framework with many pieces built in, so it suits projects that need a ready structure. Flask is lighter and gives more freedom, while FastAPI is often chosen when API-first work and type-driven code are the priority. If you want a framework that covers the whole app, Django is often the stronger fit.
A strong Django specialist usually knows Python well, plus PostgreSQL, REST APIs, Git, Docker, and testing tools such as pytest. For production work, knowledge of Celery, Redis, deployment basics, and observability is also valuable. Frontend knowledge helps when templates or client-facing views are part of the scope.
The amount of Django expertise needed depends on the risk and scope. A small internal tool may only need a focused specialist, while a public-facing product, migration, or performance fix needs someone who has handled similar work before. The key is proven delivery on projects with comparable complexity.
Yes, many Django experts work remotely without any issue. For Munich teams, remote collaboration works well when the scope is clear, communication is regular, and access to the codebase and staging systems is simple. On-site time can still help during workshops, planning, or sensitive stakeholder sessions.
Review recent Django work, not just a list of skills. Look for examples of shipped apps, API design, database work, tests, and maintenance tasks such as upgrades or bug fixes. A good specialist can explain decisions in plain language and show how they reduced risk.
Yes, Django remains a strong choice for new products that need a reliable backend and quick iteration. It is especially practical when a team wants built-in admin tools, a mature ORM, and a clear project layout. It can support both lean MVP work and larger, long-lived systems.
Django is not ideal for every case. If a project is mostly real-time messaging, a tiny service, or a highly specialized API layer with very little application logic, another approach may be simpler. A good specialist will say that early instead of forcing Django where it does not fit.
The average hourly rate of freelancers in Munich, Germany who have used Django in their recent projects is 96 €, which corresponds to a daily rate of about 771 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Django in their recent projects, 89% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Munich, Germany who have used Django in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Munich, Germany who have used Django in their recent projects are English (100%), German (89%), and Spanish (44%).
The most common industries among freelancers in Munich, Germany who have used Django in their recent projects are Information Technology (89%), Education (67%), and Automotive (56%).
The most common business areas among freelancers in Munich, Germany who have used Django in their recent projects are Information Technology (100%), Product Development (89%), and Quality Assurance (56%).
Main locations of FRATCH Experts, who have recently used Django
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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